Martin Prince

506 citations
12 papers · 367 indexed · h-index 6
Topics
Cardiovascular Function and Risk Factors (3 papers)Growth Hormone and Insulin-like Growth Factors (2 papers)Lanthanide and Transition Metal Complexes (1 paper)

In The Last Decade

Martin Prince

11 papers receiving 357 citations

Peers

Martin Prince
Comparison fields: 5 of 52
  • Surgery 152
  • Oncology 141
  • Endocrinology, Diabetes and Metabolism 115
  • Genetics 115
  • Molecular Biology 90
Replace Débora Rodrigues Siqueira with:
Débora Rodrigues Siqueira Brazil
Xingyun Su China
Maria Gebre‐Medhin Sweden
Augusto Taccaliti Italy
Benoit Destenaves United Kingdom
Carol H Jin United States
Ferenc Juhász Hungary
F. J. Seif Germany
Sonja Vogl Austria
Stefania Marchisotta Italy
Martin Prince relative to Débora Rodrigues Siqueira Brazil Débora Rodrigues Siqueira's profile →
Citations per field
00.5×2.7×
Débora Rodrigues Siqueira · 1×
Citations per year

Countries citing papers authored by Martin Prince

Since Specialization
Citations

This map shows the geographic impact of Martin Prince's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Martin Prince with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Prince more than expected).

Fields of papers citing papers by Martin Prince

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Prince. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Martin Prince. The network helps show where Martin Prince may publish in the future.

Co-authorship network of co-authors of Martin Prince

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Prince. A scholar is included among the top collaborators of Martin Prince based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Prince. Martin Prince is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 7
3 9
4
Opportunity for verbalization does not improve visual change detection performance : a state-trace analysis
1
5 4
6 152
7 90
8 4
9 74
10 21
11 1
12 3

About Martin Prince

Martin Prince is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 367 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (3 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Lanthanide and Transition Metal Complexes (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (115 citations), Cancer Research (88 citations) and Oncology (141 citations). Martin Prince has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include John A. Chabot, Harold Frucht, Robert L. Fine, Elizabeth C. Verna, Heidrun Rotterdam, Wendy K. Chung, Peter D. Stevens, Caroline Hwang, Stavros N. Stavropoulos and John A. Phillips. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and The Journal of Clinical Endocrinology & Metabolism.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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